NRTI/L3_O3
This dataset provides near-real-time high-resolution imagery of total column ozone concentrations. See also COPERNICUS/S5P/OFFL/L3_O3_TCL
for the tropospheric column data.
In the stratosphere, the ozone layer shields the biosphere from dangerous solar ultraviolet radiation. In the troposphere, it acts as an efficient cleansing agent, but at high concentration it also becomes harmful to the health of humans, animals, and vegetation. Ozone is also an important greenhouse-gas contributor to ongoing climate change. Since the discovery of the Antarctic ozone hole in the 1980s and the subsequent Montreal Protocol regulating the production of chlorine-containing ozone-depleting substances, ozone has been routinely monitored from the ground and from space.
For this product, there are two algorithms that deliver total ozone: GDP for the near real-time and GODFIT for the offline products. GDP is currently being used for generating the operational total ozone products from GOME, SCIAMACHY and GOME-2; while GODFIT is being used in the ESA CCI and the Copernicus C3S projects. More information. Product user manual
NRTI/L3_O3
该数据集提供了总臭氧浓度的近实时高分辨率图像。另见 COPERNICUS/S5P/OFFL/L3_O3_TCL 了解对流层柱数据。
在平流层,臭氧层保护生物圈免受危险的太阳紫外线辐射。在对流层,它作为一种有效的清洁剂,但在高浓度下,它也会对人类、动物和植物的健康有害。臭氧也是导致持续气候变化的重要温室气体贡献者。自从 1980 年代发现南极臭氧空洞和随后的《蒙特利尔议定书》对含氯消耗臭氧层物质的生产进行了规定,臭氧已被定期从地面和空间监测。
对于该产品,有两种算法可以提供总臭氧:近实时的 GDP 和离线产品的 GODFIT。目前国内生产总值被用于生成来自国美、SCIAMACHY 和 GOME-2 的业务总臭氧产品;而 GODFIT 正在 ESA CCI 和 Copernicus C3S 项目中使用。更多信息。产品使用说明
NRTI L3 Product
To make our NRTI L3 products, we use harpconvert to grid the data.
The qa value is adjusted before running harpconvert to satisfy all of the following criteria:
- ozone_total_vertical_column in [0, 0.45]
- ozone_effective_temperature in [180, 260]
- fitted_root_mean_square > 0.01
Example harpconvert invocation:
harpconvert --format hdf5 --hdf5-compression 9 -a 'O3_column_number_density_validity>50;derive(datetime_stop {time}); bin_spatial(2001, 50.000000, 0.01, 2001, -120.000000, 0.01); keep(O3_column_number_density,O3_column_number_density_amf, O3_slant_column_number_density,O3_effective_temperature,cloud_fraction, sensor_azimuth_angle,sensor_zenith_angle,solar_azimuth_angle, solar_zenith_angle)' S5P_NRTI_L2__O3_____20180710T230038_20180710T230538_03840_01_010000_20180711T005227.nc output.h5
- Assets between the dates 2018-07-10 and 2018-07-18 are missing due to non-standard structure of product files.
Dataset Availability
2018-07-10T11:02:44 - 2021-09-05T00:00:00
Dataset Provider
Collection Snippet
ee.ImageCollection("COPERNICUS/S5P/NRTI/L3_O3")
Resolution
0.01 degrees
Bands Table
Name | Description | Min* | Max* | Units |
O3_column_number_density | Total atmospheric column of O3 between the surface and the top of atmosphere, calculated with the [DOAS algorithm](http://projects.knmi.nl/omi/research/product/product_generator.php?info=algo&product=Ozone&flavour=OMDOAO3&long=DOAS%20Total%20Ozone%20column). | 0.0047 | 0.272 | mol/m^2 |
O3_column_number_density_amf | Weighted mean of cloudy and clear air mass factor (amf) weighted by intensity-weighted cloud fraction. | 1.92 | 6.83 | mol/m^2 |
O3_slant_column_number_density | O3 ring corrected slant column number density | 0.014 | 1.402 | mol/m^2 |
O3_effective_temperature | Ozone cross section effective temperature | -5962 | 936 | K |
cloud_fraction | Effective cloud fraction. See the [Sentinel 5P L2 Input/Output Data Definition Spec](https://sentinels.copernicus.eu/documents/247904/3119978/Sentinel-5P-Level-2-Input-Output-Data-Definition), p.220. | 0 | 1 | fraction |
sensor_azimuth_angle | Azimuth angle of the satellite at the ground pixel location (WGS84); angle measured East-of-North. | -180 | 180 | degrees |
sensor_zenith_angle | Zenith angle of the satellite at the ground pixel location (WGS84); angle measured away from the vertical. | 0.098 | 66.44 | degrees |
solar_azimuth_angle | Azimuth angle of the Sun at the ground pixel location (WGS84); angle measured East-of-North. | -180 | 180 | degrees |
solar_zenith_angle | Zenith angle of the satellite at the ground pixel location (WGS84); angle measured away from the vertical. | 8 | 80 | degrees |
* = Values are estimated
影像属性:
Name | Type | Description |
ALGORITHM_VERSION | String | The algorithm version used in L2 processing. It's separate from the processor (framework) version, to accommodate different release schedules for different products. |
BUILD_DATE | String | The date, expressed as milliseconds since 1 Jan 1970, when the software used to perform L2 processing was built. |
HARP_VERSION | Int | The version of the HARP tool used to grid the L2 data into an L3 product. |
INSTITUTION | String | The institution where data processing from L1 to L2 was performed. |
L3_PROCESSING_TIME | Int | The date, expressed as milliseconds since 1 Jan 1970, when Google processed the L2 data into L3 using harpconvert. |
LAT_MAX | Double | The maximum latitude of the asset (degrees). |
LAT_MIN | Double | The minimum latitude of the asset (degrees). |
LON_MAX | Double | The maximum longitude of the asset (degrees). |
LON_MIN | Double | The minimum longitude of the asset (degrees). |
ORBIT | Int | The orbit number of the satellite when the data was acquired. |
PLATFORM | String | Name of the platform which acquired the data. |
PROCESSING_STATUS | String | The processing status of the product on a global level, mainly based on the availability of auxiliary input data. Possible values are "Nominal" and "Degraded". |
PROCESSOR_VERSION | String | The version of the software used for L2 processing, as a string of the form "major.minor.patch". |
PRODUCT_ID | String | Id of the L2 product used to generate this asset. |
PRODUCT_QUALITY | String | Indicator that specifies whether the product quality is degraded or not. Allowed values are "Degraded" and "Nominal". |
SENSOR | String | Name of the sensor which acquired the data. |
SPATIAL_RESOLUTION | String | Spatial resolution at nadir. For most products this is `3.5x7km2`, except for `L2__O3__PR`, which uses `28x21km2`, and `L2__CO____` and `L2__CH4___`, which both use `7x7km2`. This attribute originates from the CCI standard. |
TIME_REFERENCE_DAYS_SINCE_1950 | Int | Days from 1 Jan 1950 to when the data was acquired. |
TIME_REFERENCE_JULIAN_DAY | Double | The Julian day number when the data was acquired. |
TRACKING_ID | String | UUID for the L2 product file. |
STATUS_MET_2D | String | This dataset uses dynamic auxiliary weather data during L2 processing. This field has a value of "Nominal" if ECMWF dynamic auxiliary data was available or "Fallback" if not. |
代码:
var collection = ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_O3') .select('O3_column_number_density') .filterDate('2019-06-01', '2019-06-05'); var band_viz = { min: 0.12, max: 0.15, palette: ['black', 'blue', 'purple', 'cyan', 'green', 'yellow', 'red'] }; Map.addLayer(collection.mean(), band_viz, 'S5P O3'); Map.setCenter(0.0, 0.0, 2);